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  • 응용머신러닝

Results for "응용 머신 러닝"


  • Status: New
    New
    G

    Google Cloud

    생성형 AI 앱: 업무 혁신

    Skills you'll gain: Google Gemini, Google Workspace, Generative AI, Google Cloud Platform, Productivity Software, Prompt Engineering, Enterprise Security, Document Management, Information Management

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    University of London

    모두를 위한 머신 러닝

    Skills you'll gain: Applied Machine Learning, Artificial Intelligence, Machine Learning, Computer Vision, Data Literacy, Data Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    D

    DeepLearning.AI

    머신 러닝 프로젝트 구조화

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Data-Driven Decision-Making, Technical Management, Machine Learning, Applied Machine Learning, Deep Learning, Debugging, Supervised Learning, Analysis, Algorithms

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    S

    Siemens

    응용 전산 유체 역학

    Skills you'll gain: Engineering Analysis, Thermal Management, Simulations, Mechanical Engineering, Hydraulics, Numerical Analysis, Engineering, Mathematical Modeling, Chemical Engineering

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    U

    University of Washington

    머신 러닝 기초: 사례 연구 접근 방식

    Skills you'll gain: Regression Analysis, Applied Machine Learning, Machine Learning, Deep Learning, Jupyter, Classification And Regression Tree (CART), Supervised Learning, Predictive Modeling, Predictive Analytics, Artificial Intelligence, Unsupervised Learning, Computer Vision, Text Mining, Natural Language Processing, Data Mining

    Mixed · Course · 1 - 3 Months

  • Status: Preview
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    S

    SAS

    머신 러닝 자세히 알아보기: 기술적 팁, 요령, 그리고 함정

    Skills you'll gain: Machine Learning, Data Ethics, Responsible AI, Technical Communication, Predictive Analytics, Supervised Learning, Artificial Intelligence, Data Analysis, Decision Tree Learning, Regression Analysis, Statistical Analysis, Artificial Neural Networks

    Beginner · Course · 1 - 4 Weeks

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  • Status: Preview
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    A

    Alberta Machine Intelligence Institute

    실용 머신 러닝 소개

    Skills you'll gain: Data Ethics, Machine Learning, Applied Machine Learning, Data Collection, Business Process, Data Modeling, Business Requirements, Supervised Learning, Machine Learning Algorithms, Data Quality, Unsupervised Learning, Performance Metric

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    University of Washington

    머신 러닝: 회귀 모델

    Skills you'll gain: Regression Analysis, Supervised Learning, Predictive Modeling, Statistical Modeling, Statistical Methods, Machine Learning, Applied Machine Learning, Feature Engineering, Exploratory Data Analysis, Python Programming, Linear Algebra, Algorithms, Data Visualization

    Mixed · Course · 1 - 3 Months

  • Status: Preview
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    D

    DeepLearning.AI

    신경망 및 딥 러닝

    Skills you'll gain: Deep Learning, Artificial Neural Networks, Supervised Learning, Computer Vision, Python Programming, Machine Learning, NumPy, Performance Tuning, Linear Algebra, Calculus

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    D

    DeepLearning.AI

    심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화

    Skills you'll gain: Tensorflow, Deep Learning, Performance Tuning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Machine Learning, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    University of Colorado Boulder

    컴퓨터 비전 분야에서의 딥 러닝 응용 사례

    Skills you'll gain: Image Analysis, Tensorflow, Computer Vision, Deep Learning, Machine Learning, Artificial Neural Networks, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Computer Graphics, Network Architecture

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    I

    Imperial College London

    TensorFlow 2 시작하기

    Skills you'll gain: Keras (Neural Network Library), Tensorflow, Deep Learning, Data Validation, Predictive Modeling, Supervised Learning, Applied Machine Learning, Artificial Neural Networks, Computer Vision, Jupyter

    Intermediate · Course · 1 - 3 Months

Searches related to 응용 머신 러닝

실용 머신 러닝 소개
1234…9

In summary, here are 10 of our most popular 응용 머신 러닝 courses

  • 생성형 AI 앱: 업무 혁신: Google Cloud
  • 모두를 위한 머신 러닝: University of London
  • 머신 러닝 프로젝트 구조화: DeepLearning.AI
  • 응용 전산 유체 역학: Siemens
  • 머신 러닝 기초: 사례 연구 접근 방식: University of Washington
  • 머신 러닝 자세히 알아보기: 기술적 팁, 요령, 그리고 함정: SAS
  • 실용 머신 러닝 소개: Alberta Machine Intelligence Institute
  • 머신 러닝: 회귀 모델: University of Washington
  • 신경망 및 딥 러닝: DeepLearning.AI
  • 심층 신경망 개선: 하이퍼파라미터 튜닝, 정규화 및 최적화: DeepLearning.AI

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